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  1. Matplotlib — Visualization with Python

    Matplotlib: Visualization with Python. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard …

  2. matplotlib.pyplot — Matplotlib 3.10.3 documentation

    matplotlib.pyplot # matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI …

  3. Pyplot tutorial — Matplotlib 3.10.3 documentation

    matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a …

  4. Matplotlib documentation — Matplotlib 3.10.3 documentation

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install#

  5. Examples — Matplotlib 3.10.3 documentation

    When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for some …

  6. Tutorials — Matplotlib 3.10.3 documentation

    Pyplot tutorial. Image tutorial. Image tutorial. The Lifecycle of a Plot. The Lifecycle of a Plot. Artist tutorial. Artist tutorial. Download all examples in Python source code: tutorials_python.zip. …

  7. Installation — Matplotlib 3.10.3 documentation

    If you are using Python from https://www.python.org, Homebrew, or Macports, then you can use the standard pip installer to install Matplotlib binaries in the form of wheels. pip is installed by …

  8. Using Matplotlib — Matplotlib 3.10.3 documentation

    Writing a backend -- the pyplot interface; Axes and subplots. Introduction to Axes (or Subplots) Arranging multiple Axes in a Figure; Placing colorbars; Autoscaling axes; Axis scales; Axis …

  9. API Reference — Matplotlib 3.10.3 documentation

    pyplot interface (function-based, implicit) consists of functions in the pyplot module. Figure and Axes are manipulated through these functions and are only implicitly present in the background.

  10. Getting started — Matplotlib 3.10.3 documentation

    import matplotlib.pyplot as plt import numpy as np x = np. linspace (0, 2 * np. pi, 200) y = np. sin (x) fig, ax = plt. subplots ax. plot (x, y) plt. show () ( Source code , 2x.png , png ) If a plot does …

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